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Resnet50 Mask Classification
R
Resnet50 Mask Classification
Developed by AllanOuii
基于ResNet50架构的二元分类模型，用于检测图像中人物是否佩戴口罩，准确率达97.7%
Downloads 23
Release Time : 2/10/2023
Model Overview
该模型使用AutoTrain训练，专门用于识别图像中人物是否佩戴口罩，适用于公共场所的防疫监控场景
Model Features
高精度识别
在测试集上达到97.7%的准确率和100%的召回率
快速推理
基于优化的ResNet50架构，可实现实时图像分类
环保训练
训练过程仅产生1.55克二氧化碳排放
Model Capabilities
图像分类
口罩检测
实时监控
Use Cases
公共卫生
公共场所防疫监控
在商场、车站等公共场所自动检测人员口罩佩戴情况
可实时统计口罩佩戴率，辅助防疫管理
智能门禁系统
集成到门禁系统中，确保进入人员佩戴口罩
自动拦截未佩戴口罩人员
教育领域
校园防疫管理
监控教室、食堂等区域的口罩佩戴情况
生成每日合规报告
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